A study led by Professor Hui Liu from Central South University, published in Frontiers of Agricultural Science and ...

Supercharging your data analysis strategy with machine learning, data science, and custom-trained LLMs can unlock a higher ...

Computational biology workflows increasingly rely on sophisticated statistical approaches, machine learning (ML) techniques and generative artificial intelligence (AI) agents to handle high-throughput ...

In a rapidly evolving digital landscape, Gurunath Dasari a seasoned financial technology researcher—explores the complexities ...

Managers of data warehouses of big and small companies realise this sooner or later, that having vast tables of numbers and ...

New AI study examines social capabilities of large language models (LLMs), affirming the overall importance of applying human ...

Artificial intelligence (AI) has shown it can imperfectly but acceptably achieve much that was envisioned for quantum ...

Artificial Intelligence (AI) offers immense potential, but it’s not without challenges. Mohit Saxena, Co-Founder & CTO, ...

Modern agriculture increasingly depends on Internet of Things (IoT)-enabled wireless sensor networks (WSNs) to automate ...

It is commonly known among Data Scientists that data cleaning and preprocessing make up a major part of a data science project. And, you will probably agree with me that it is not the most exciting ...

AI-driven drone from University of Klagenfurt uses IDS uEye camera for real-time, object-relative navigation—enabling safer, more efficient, and precise inspections.The inspection of ...

The leading and longest established online Process Engineering publication serving the Process Manufacturing Industries ...